{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据清洗"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "大家好，这一期我将为大家带来我的pandas学习心得第二期：数据清理。这一步非常重要，一般在获取数据源之后，我们紧接着就要开始这一步，以便为了之后的各种操作，简单来说，我们的目标就是让数据看起来赏心悦目，规规矩矩的，所以我们会对原始的dataframe做一些必要的美容，包括规范命名，去除异常值，重新选择合适的index啊，处理缺失值，统一列的命名等等。\n",
    "\n",
    "这一期我会和大家分享一些比较好用常见的清洗方法。首先还是让我们来简单看一下本文将会用到的数据源:\n",
    "\n",
    " - property_data.csv 这是一个超小型的房地产行业的数据集，大家会在文章最后找到下载地址。\n",
    "\n",
    "这篇文章我会从以下几个方面来和大家分享我的心得体会：\n",
    "1. 有关缺失值的处理\n",
    "2. 有关列的处理\n",
    "3. 设置Index\n",
    "3. 源码及数据下载地址\n",
    " \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.有关缺失值的处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里我们会用到 property_data.csv这个数据集，在开始处理缺失值之前，我们可以先话一分钟仔细想想，为什么实际生活中的数据从来是不完整的，原因基本有几个方面：\n",
    " - 用户忘记填写字段\n",
    " - 从旧数据库手动传输时数据丢失\n",
    " - 代码中有bug\n",
    " - 用户不填写非必须字段（比如注册的时候）\n",
    " \n",
    " 因为这些原因，我每次在处理missing value的时候都会问自己两个基础问题：\n",
    " 1. 数据集每一列有什么特点？\n",
    " 2. 我们想要在处理后得到什么类型的数据（int，float，string，boolean）？\n",
    "\n",
    "带着这些疑问，我们可以开始了，首先让我们简单读取一下数据，利用head函数看看前5行，如果你还对pandas的基础知识有疑问，可以看看我上一篇文章：[Pandas之旅（一): 让我们把基础知识一次撸完，申精干货](https://segmentfault.com/a/1190000018373808)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "os.chdir(\"F:\\\\Python教程\\\\segmentfault\\\\pandas_share\\\\Pandas之旅_02 数据清洗\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PID</th>\n",
       "      <th>ST_NUM</th>\n",
       "      <th>ST_NAME</th>\n",
       "      <th>OWN_OCCUPIED</th>\n",
       "      <th>NUM_BEDROOMS</th>\n",
       "      <th>NUM_BATH</th>\n",
       "      <th>SQ_FT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           PID  ST_NUM    ST_NAME OWN_OCCUPIED NUM_BEDROOMS NUM_BATH SQ_FT\n",
       "0  100001000.0   104.0     PUTNAM            Y            3        1  1000\n",
       "1  100002000.0   197.0  LEXINGTON            N            3      1.5    --\n",
       "2  100003000.0     NaN  LEXINGTON            N          NaN        1   850\n",
       "3  100004000.0   201.0   BERKELEY           12            1      NaN   700\n",
       "4          NaN   203.0   BERKELEY            Y            3        2  1600"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read csv file into a pandas dataframe\n",
    "df = pd.read_csv(\"property_data.csv\")\n",
    "\n",
    "# Take a look at the first few rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在让我们看看数据的一些关键列是什么：\n",
    " - ST_NUM：街道号码\n",
    " - ST_NAME: 街道名称\n",
    " - OWN_OCCUPIED: 是否用于自住\n",
    " - NUM_BEDROOMS：卧室数量\n",
    " - SQ_FT：面积\n",
    " \n",
    "这里可以给大家普及点房地产知识，有的时候房屋用途被明确规定，比如有的房产写的是\"owner occupied only \"）意思是说如果你买了，那这个房子会成为你的主要住所，不能用于出租之类的，简单理解就是自住\n",
    " \n",
    " \n",
    "所以现在我可以自问自答第一个问题:数据集每一列有什么特点？\n",
    "\n",
    " - ST_NUM：float或int ...\n",
    " - ST_NAME：string\n",
    " - OWN_OCCUPIED：string ... Y（“是”）或N（“否”）\n",
    " - NUM_BEDROOMS：float或int，数字类型\n",
    " - SQ_FT：float或int，数字类型\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 规范的缺失值标记"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在让我们关注ST_NUM这一列："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    104.0\n",
       "1    197.0\n",
       "2      NaN\n",
       "3    201.0\n",
       "4    203.0\n",
       "5    207.0\n",
       "6      NaN\n",
       "7    213.0\n",
       "8    215.0\n",
       "Name: ST_NUM, dtype: float64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Looking at the ST_NUM column\n",
    "df['ST_NUM']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果想查看该列的缺失值情况，我们可以利用isnull（）方法，如果出现缺失值，会返回True，反之返回false"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1    False\n",
       "2     True\n",
       "3    False\n",
       "4    False\n",
       "5    False\n",
       "6     True\n",
       "7    False\n",
       "8    False\n",
       "Name: ST_NUM, dtype: bool"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ST_NUM'].isnull()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "但是其实如果我们打开csv文件，你会发现第3行是空白，还有一行在该列显示的是NA，所以结论已经有了：在pandas里表示缺省值的符号及时NA,换句话说，如果我们要表示缺省值，标准写法是NA"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 不规范的缺失值标记"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "同样的，这回让我们关注一下NUM_BEDROOMS这一列，我们发现出现了4种类型的表达缺省值的标记：\n",
    " - n/a\n",
    " - NA\n",
    " - —\n",
    " - na"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过刚才的实践，我们已经确定NA是pandas可以识别的，那么其他的符号呢，现在让我们来测试一下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      3\n",
       "1      3\n",
       "2    NaN\n",
       "3      1\n",
       "4      3\n",
       "5    NaN\n",
       "6      2\n",
       "7      1\n",
       "8     na\n",
       "Name: NUM_BEDROOMS, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['NUM_BEDROOMS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1    False\n",
       "2     True\n",
       "3    False\n",
       "4    False\n",
       "5     True\n",
       "6    False\n",
       "7    False\n",
       "8    False\n",
       "Name: NUM_BEDROOMS, dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['NUM_BEDROOMS'].isnull()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到pandas识别了n/a 和NA两种符号，但是接下来我们要考虑一个问题，假设你是房地产公司的地区总经理，你每周会收到不同地区的负责人提交的表格，\n",
    "这些人中有的喜欢用--表示空白值，有的人喜欢用na，那应该怎么办？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "最简单的方式就是将所有表示空白值的符号统一放在list中，让后让pandas一次性识别:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making a list of missing value types\n",
    "missing_values =  [\"na\", \"--\"]\n",
    "df = pd.read_csv(\"property_data.csv\", na_values = missing_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在我们来看看到底发生了什么？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PID</th>\n",
       "      <th>ST_NUM</th>\n",
       "      <th>ST_NAME</th>\n",
       "      <th>OWN_OCCUPIED</th>\n",
       "      <th>NUM_BEDROOMS</th>\n",
       "      <th>NUM_BATH</th>\n",
       "      <th>SQ_FT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>12</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           PID  ST_NUM     ST_NAME OWN_OCCUPIED  NUM_BEDROOMS NUM_BATH   SQ_FT\n",
       "0  100001000.0   104.0      PUTNAM            Y           3.0        1  1000.0\n",
       "1  100002000.0   197.0   LEXINGTON            N           3.0      1.5     NaN\n",
       "2  100003000.0     NaN   LEXINGTON            N           NaN        1   850.0\n",
       "3  100004000.0   201.0    BERKELEY           12           1.0      NaN   700.0\n",
       "4          NaN   203.0    BERKELEY            Y           3.0        2  1600.0\n",
       "5  100006000.0   207.0    BERKELEY            Y           NaN        1   800.0\n",
       "6  100007000.0     NaN  WASHINGTON          NaN           2.0   HURLEY   950.0\n",
       "7  100008000.0   213.0     TREMONT            Y           1.0        1     NaN\n",
       "8  100009000.0   215.0     TREMONT            Y           NaN        2  1800.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以发现只要missing_value中记录的表达空白值的符号，全部变成了规整的NaN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.3 类型不一致的异常值"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "刚刚我们已经简单了解了在pandas中如何处理缺失值的，还有一种情况，让我们来看OWN_OCCUPIED这一列，这一列的答案只能是Y,N 但是我们发现数据集意外地出现了12，属于类型不对称\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1    False\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5    False\n",
       "6     True\n",
       "7    False\n",
       "8    False\n",
       "Name: OWN_OCCUPIED, dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['OWN_OCCUPIED'].isnull()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "现在我们发现12是异常值，因为它是类型错误，所以我们可以简单通过下面这个方法来检测，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Detecting numbers \n",
    "cnt=0\n",
    "for row in df['OWN_OCCUPIED']:\n",
    "    try:\n",
    "        int(row)\n",
    "        df.loc[cnt, 'OWN_OCCUPIED']=np.nan\n",
    "    except ValueError:\n",
    "        pass\n",
    "    cnt+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们这里的策略是：\n",
    " - 循环遍历OWN_OCCUPIED列\n",
    " - 尝试将条目转换为整数\n",
    " - 如果条目可以更改为整数，请输入缺失值\n",
    " - 如果数字不能是整数，我们知道它是一个字符串，所以继续\n",
    "\n",
    "这样我们会把OWN_OCCUPIED这一列中所有类型不对的值转化为NaN，现在来看结果："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Y\n",
       "1      N\n",
       "2      N\n",
       "3    NaN\n",
       "4      Y\n",
       "5      Y\n",
       "6    NaN\n",
       "7      Y\n",
       "8      Y\n",
       "Name: OWN_OCCUPIED, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['OWN_OCCUPIED']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.4 汇总缺失值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pandas提供了更为简洁的方式，可以让我们整体了解所有column的空值："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PID             1\n",
       "ST_NUM          2\n",
       "ST_NAME         0\n",
       "OWN_OCCUPIED    2\n",
       "NUM_BEDROOMS    3\n",
       "NUM_BATH        1\n",
       "SQ_FT           2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "或者如果我们只想知道数据是否存在空值，那么可以使用以下的命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Any missing values?\n",
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.5 替换缺失值"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "如果我们想要替换掉缺失值，可以用fillna方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace missing values with a number\n",
    "df['ST_NUM'].fillna(125, inplace=True)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "或者我们可以通过准确定位来替换缺失值:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Location based replacement\n",
    "df.loc[2,'ST_NUM'] = 125"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "替换缺失值的一种非常常见的方法是使用中位数:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PID</th>\n",
       "      <th>ST_NUM</th>\n",
       "      <th>ST_NAME</th>\n",
       "      <th>OWN_OCCUPIED</th>\n",
       "      <th>NUM_BEDROOMS</th>\n",
       "      <th>NUM_BATH</th>\n",
       "      <th>SQ_FT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           PID  ST_NUM     ST_NAME OWN_OCCUPIED  NUM_BEDROOMS NUM_BATH   SQ_FT\n",
       "0  100001000.0   104.0      PUTNAM            Y           3.0        1  1000.0\n",
       "1  100002000.0   197.0   LEXINGTON            N           3.0      1.5     NaN\n",
       "2  100003000.0   125.0   LEXINGTON            N           2.5        1   850.0\n",
       "3  100004000.0   201.0    BERKELEY          NaN           1.0      NaN   700.0\n",
       "4          NaN   203.0    BERKELEY            Y           3.0        2  1600.0\n",
       "5  100006000.0   207.0    BERKELEY            Y           2.5        1   800.0\n",
       "6  100007000.0   125.0  WASHINGTON          NaN           2.0   HURLEY   950.0\n",
       "7  100008000.0   213.0     TREMONT            Y           1.0        1     NaN\n",
       "8  100009000.0   215.0     TREMONT            Y           2.5        2  1800.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace using median \n",
    "median = df['NUM_BEDROOMS'].median()\n",
    "df['NUM_BEDROOMS'].fillna(median, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 有关列的处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 统一修改列名"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在假设因为一些需求，需要我们统一修改列名，把列名改为小写，我们可以结合列表推导式轻易实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pid', 'st_num', 'st_name', 'own_occupied', 'num_bedrooms', 'num_bath',\n",
       "       'sq_ft'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rename(str.lower, axis='columns',inplace =True)\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "或者需要把列名中的_改为-:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "      <th>own-occupied</th>\n",
       "      <th>num-bedrooms</th>\n",
       "      <th>num-bath</th>\n",
       "      <th>sq-ft</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pid  st-num     st-name own-occupied  num-bedrooms num-bath   sq-ft\n",
       "0  100001000.0   104.0      PUTNAM            Y           3.0        1  1000.0\n",
       "1  100002000.0   197.0   LEXINGTON            N           3.0      1.5     NaN\n",
       "2  100003000.0   125.0   LEXINGTON            N           2.5        1   850.0\n",
       "3  100004000.0   201.0    BERKELEY          NaN           1.0      NaN   700.0\n",
       "4          NaN   203.0    BERKELEY            Y           3.0        2  1600.0\n",
       "5  100006000.0   207.0    BERKELEY            Y           2.5        1   800.0\n",
       "6  100007000.0   125.0  WASHINGTON          NaN           2.0   HURLEY   950.0\n",
       "7  100008000.0   213.0     TREMONT            Y           1.0        1     NaN\n",
       "8  100009000.0   215.0     TREMONT            Y           2.5        2  1800.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_cols = [c.replace(\"_\",\"-\") for c in df.columns]\n",
    "change_dict =dict(zip(df.columns,new_cols))\n",
    "df.rename(columns=change_dict,inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "这里我没有写的精简一些，反而是复杂了，主要是想让大家回忆起之前我分享的dict使用技巧中的内容，注意这里inplace=True，导致的结果是我们的的确确修改了df所有的列名"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 根据需求新增列"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "假如目前我们需要新增一列，根据房屋面积大小来赋值,我们先随意把缺失值补上："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1000\n",
       "1     0.0\n",
       "2     850\n",
       "3     700\n",
       "4    1600\n",
       "5     800\n",
       "6     950\n",
       "7     0.0\n",
       "8    1800\n",
       "Name: sq-ft, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['sq-ft'].fillna('0.0')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "然后新建一列rank来根据房屋面积大小赋值S=small,M=medium,B=big："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "      <th>own-occupied</th>\n",
       "      <th>num-bedrooms</th>\n",
       "      <th>num-bath</th>\n",
       "      <th>sq-ft</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pid  st-num     st-name own-occupied  num-bedrooms num-bath  \\\n",
       "0  100001000.0   104.0      PUTNAM            Y           3.0        1   \n",
       "1  100002000.0   197.0   LEXINGTON            N           3.0      1.5   \n",
       "2  100003000.0   125.0   LEXINGTON            N           2.5        1   \n",
       "3  100004000.0   201.0    BERKELEY          NaN           1.0      NaN   \n",
       "4          NaN   203.0    BERKELEY            Y           3.0        2   \n",
       "5  100006000.0   207.0    BERKELEY            Y           2.5        1   \n",
       "6  100007000.0   125.0  WASHINGTON          NaN           2.0   HURLEY   \n",
       "7  100008000.0   213.0     TREMONT            Y           1.0        1   \n",
       "8  100009000.0   215.0     TREMONT            Y           2.5        2   \n",
       "\n",
       "    sq-ft rank  \n",
       "0  1000.0    M  \n",
       "1     NaN  NaN  \n",
       "2   850.0    M  \n",
       "3   700.0    S  \n",
       "4  1600.0    M  \n",
       "5   800.0    S  \n",
       "6   950.0    M  \n",
       "7     NaN  NaN  \n",
       "8  1800.0    B  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"rank\"]= pd.cut(df['sq-ft'], [0, 800, 1600, np.inf], labels=(\"S\",\"M\",\"B\"))\n",
    "df"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "具体实现方法我们之后会说，这里主要是用到了pandas的cut方法，非常便捷"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 设置Index"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "在许多情况下，使用数据的唯一值标识字段作为其索引是有帮助的。这里可能我们的数据不太合适，因此我们先伪造一列Fake_Index来模拟真实场景中的\n",
    "真正索引\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "      <th>own-occupied</th>\n",
       "      <th>num-bedrooms</th>\n",
       "      <th>num-bath</th>\n",
       "      <th>sq-ft</th>\n",
       "      <th>rank</th>\n",
       "      <th>Fake_Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>M</td>\n",
       "      <td>A000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>M</td>\n",
       "      <td>A002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "      <td>S</td>\n",
       "      <td>A003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>M</td>\n",
       "      <td>A004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "      <td>S</td>\n",
       "      <td>A005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "      <td>M</td>\n",
       "      <td>A006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>B</td>\n",
       "      <td>A008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pid  st-num     st-name own-occupied  num-bedrooms num-bath  \\\n",
       "0  100001000.0   104.0      PUTNAM            Y           3.0        1   \n",
       "1  100002000.0   197.0   LEXINGTON            N           3.0      1.5   \n",
       "2  100003000.0   125.0   LEXINGTON            N           2.5        1   \n",
       "3  100004000.0   201.0    BERKELEY          NaN           1.0      NaN   \n",
       "4          NaN   203.0    BERKELEY            Y           3.0        2   \n",
       "5  100006000.0   207.0    BERKELEY            Y           2.5        1   \n",
       "6  100007000.0   125.0  WASHINGTON          NaN           2.0   HURLEY   \n",
       "7  100008000.0   213.0     TREMONT            Y           1.0        1   \n",
       "8  100009000.0   215.0     TREMONT            Y           2.5        2   \n",
       "\n",
       "    sq-ft rank Fake_Index  \n",
       "0  1000.0    M       A000  \n",
       "1     NaN  NaN       A001  \n",
       "2   850.0    M       A002  \n",
       "3   700.0    S       A003  \n",
       "4  1600.0    M       A004  \n",
       "5   800.0    S       A005  \n",
       "6   950.0    M       A006  \n",
       "7     NaN  NaN       A007  \n",
       "8  1800.0    B       A008  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Fake_Index\"]=[\"A00\"+str(i) for i in range(len(df))]\n",
    "df"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "现在我们添加的最后一列非常像真正的房屋Id了，让我们来看看这个伪造的索引是不是唯一值，可以利用is_unique来检验："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Fake_Index.is_unique"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "没有问题，现在我们可以放心地把这列设置为我们真正的索引："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "      <th>own-occupied</th>\n",
       "      <th>num-bedrooms</th>\n",
       "      <th>num-bath</th>\n",
       "      <th>sq-ft</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fake_Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A000</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A001</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A002</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A003</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A004</th>\n",
       "      <td>NaN</td>\n",
       "      <td>203.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A005</th>\n",
       "      <td>100006000.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>800.0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A006</th>\n",
       "      <td>100007000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HURLEY</td>\n",
       "      <td>950.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A007</th>\n",
       "      <td>100008000.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A008</th>\n",
       "      <td>100009000.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>TREMONT</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    pid  st-num     st-name own-occupied  num-bedrooms  \\\n",
       "Fake_Index                                                               \n",
       "A000        100001000.0   104.0      PUTNAM            Y           3.0   \n",
       "A001        100002000.0   197.0   LEXINGTON            N           3.0   \n",
       "A002        100003000.0   125.0   LEXINGTON            N           2.5   \n",
       "A003        100004000.0   201.0    BERKELEY          NaN           1.0   \n",
       "A004                NaN   203.0    BERKELEY            Y           3.0   \n",
       "A005        100006000.0   207.0    BERKELEY            Y           2.5   \n",
       "A006        100007000.0   125.0  WASHINGTON          NaN           2.0   \n",
       "A007        100008000.0   213.0     TREMONT            Y           1.0   \n",
       "A008        100009000.0   215.0     TREMONT            Y           2.5   \n",
       "\n",
       "           num-bath   sq-ft rank  \n",
       "Fake_Index                        \n",
       "A000              1  1000.0    M  \n",
       "A001            1.5     NaN  NaN  \n",
       "A002              1   850.0    M  \n",
       "A003            NaN   700.0    S  \n",
       "A004              2  1600.0    M  \n",
       "A005              1   800.0    S  \n",
       "A006         HURLEY   950.0    M  \n",
       "A007              1     NaN  NaN  \n",
       "A008              2  1800.0    B  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.set_index('Fake_Index')\n",
    "df"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "现在对数据的操作容易多了，我们很多事情可以通过索引完成："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "      <th>own-occupied</th>\n",
       "      <th>num-bedrooms</th>\n",
       "      <th>num-bath</th>\n",
       "      <th>sq-ft</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fake_Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A000</th>\n",
       "      <td>100001000.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>PUTNAM</td>\n",
       "      <td>Y</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A001</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A002</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "      <td>N</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A003</th>\n",
       "      <td>100004000.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>BERKELEY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>700.0</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    pid  st-num    st-name own-occupied  num-bedrooms  \\\n",
       "Fake_Index                                                              \n",
       "A000        100001000.0   104.0     PUTNAM            Y           3.0   \n",
       "A001        100002000.0   197.0  LEXINGTON            N           3.0   \n",
       "A002        100003000.0   125.0  LEXINGTON            N           2.5   \n",
       "A003        100004000.0   201.0   BERKELEY          NaN           1.0   \n",
       "\n",
       "           num-bath   sq-ft rank  \n",
       "Fake_Index                        \n",
       "A000              1  1000.0    M  \n",
       "A001            1.5     NaN  NaN  \n",
       "A002              1   850.0    M  \n",
       "A003            NaN   700.0    S  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  根据索引名称切片\n",
    "df['A000':'A003']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pid</th>\n",
       "      <th>st-num</th>\n",
       "      <th>st-name</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fake_Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A001</th>\n",
       "      <td>100002000.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A002</th>\n",
       "      <td>100003000.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>LEXINGTON</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    pid  st-num    st-name\n",
       "Fake_Index                                \n",
       "A001        100002000.0   197.0  LEXINGTON\n",
       "A002        100003000.0   125.0  LEXINGTON"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  根据索引位置切片\n",
    "\n",
    "df.iloc[1:3, 0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'LEXINGTON'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 定位到具体元素\n",
    "df.iloc[1,2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我把这一期的ipynb文件和py文件放到了GIthub上，大家如果想要下载可以点击下面的链接：\n",
    " - Github仓库地址： [https://github.com/yaozeliang/pandas_share](https://github.com/yaozeliang/pandas_share)\n",
    "\n",
    "\n",
    "这一期先讲到这里，希望大家能够继续支持我，完结，撒花"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
